Cost optimization of Fuel Cell/Ultracapacitor powertrain

This work focuses on applying a Particle Swarm Optimization (PSO) on Fuel Cell/Ultra-Capacitor (FC/UC) Electrical Vehicle. This method is dedicated to minimize the energy sources cost. Indeed, the PSO algorithm allows finding the optimal size of each energy sources by identifying FC and UC cells numbers. A relationship is developed between FC/UC sizing parameters and vehicle requirements. The sources´ sizes ought to guarantee the drive performances. Simulation results show the sufficiency of optimal sizes and the effectiveness of the proposed optimization method.